Variables | n (%) |
---|---|
Gender | |
Man/male | 58 (49.6) |
Woman/female | 57 (48.7) |
Non-binary | 1 (0.9) |
Prefer not to say | 1 (0.9) |
Main work setting | |
University | 28 (23.9) |
Research institute | 11 (9.4) |
Government department or agency | 2 (1.7) |
Blood collection agency | 36 (30.8) |
Hospital setting | 32 (27.4) |
Healthcare service (other) | 1 (0.9) |
Other | 6 (5.1) |
Missing | 1 (0.9) |
Secondary work setting | |
University | 24 (20.5) |
Research institute | 2 (1.7) |
Government department or agency | 7 (6.0) |
Blood collection agency | 7 (6.0) |
Hospital setting | 8 (6.8) |
None | 65 (55.6) |
Missing | 4 (3.4) |
Type of methods (MC) | |
Animal studies | 11 (9.4) |
Biospecimen analysis research | 39 (33.3) |
Data linkage research | 33 (28.2) |
Epidemiological research | 48 (41.0) |
Interventional/clinical trials research | 39 (33.3) |
Qualitative research | 46 (39.3) |
Quantitative research | 53 (45.3) |
Other | 17 (14.5) |
Career stage | |
Years active in transfusion medicine | 16.6 (± 10.5) |
Early to mid-career (1–15 years) | 63 (53.8) |
Established (16–50 years) | 50 (42.7) |
Not specified | 4 (3.4) |
Knowledge translation training | |
Yes | 37 (31.6) |
No | 69 (59.0) |
Unsure/do not know | 11 (9.4) |